Enhanced performance of AI models by 7X on existing hardware using EDGENeural.ai platform
Edge Neural worked with A-eye on the Object Detection Model. The model architecture is a proprietary Convolutional Neural Network built on Tensor Flow framework. The model identifies and locates the objects by drawing bounding boxes around these detected objects in a high-resolution video. Read this Case Study to learn how EDGENeural.ai addressed challenges associated with tasks that involve heavy computation process, require several GPUs for the scaled-up version in production environment, and high costs.
Download Case Study
EDGENeural.ai aims to bridge the challenges being faced while deploying AI over the edge. We are focused on building solutions to improve the efficacy of AI algorithms and models for edge devices.
Explore More. Case Studies, Blogs and Company News and Updates!
Stay updated with all the latest news and insights from the world of AI